Abstract
Urban Green Spaces (UGSs) are proving to be most important part of urban
area of a city. These green spaces not only provide psychological
comfort to humans but also affect heat impact on city to a vast level.
In a developing country like India, where urban growth is happening in a
very fast and haphazard manner a little consideration is given to Green
Spaces in city. Such a study has been conducted over Lucknow metro-city
of Uttar Pradesh state of India. In this study, the relation between
Land Use\Land Cover (LULC) and Land surface temperature
(LST) has been tried to find. Using Landsat-8 OLI data (Band 3, 4 & 5)
and Maximum Likelihood Classification algorithm, 6 Land Use classes are
obtained, which are “Built-up”, “Vegetation”, “Shrub”, “Water”,
“Fallow Land” and “Other”. In addition to these 4 Land Cover Indices
namely Normalized Difference Built-up Index (NDBI), Normalized
Difference Vegetation Index (NDVI), Normalized Difference Water Index
(NDWI) and Normalized Difference Barren Index (NDBaI) are also generated
for same areas. LST is obtained using TIRS data (Band 10 & 11) and
Split Window Algorithm by Radiative Transfer Equation. Ancillary data is
used for digitization of 5 assembly constituencies (ACs) of Lucknow
parliamentary constituency (PC) of Lucknow district namely, Lucknow
Cantonment, Lucknow North, Lucknow East, Lucknow West and Lucknow
Central has been done. River and Canal passing through these areas, are
also considered in Urban Green Spaces as per Urban Atlas code 14100.
250m radius buffer is generated around Built-up pixels for analysis of
impact of UGSs on LST. Cantonment and East Lucknow area having highest
amount of UGSs in terms of “Vegetation”, “Shrub” & “Water” pixels
due to presence of Forest area in both ACs. It is found that LST is
positively related with all indices except for NDVI with strong negative
correlation and R2 of 0.47 and highest R2 of 0.53 with NDBI. Among all 5
ACs best correlation between all 4 LC and LST values is found in Lucknow
East AC with R2 > 0.64 for NDVI, NDWI and NDBI. Lucknow
East AC is having least LST but there is very little difference between
LST values of Built-up pixels having minimum UGSs present in 250m radius
buffer around built-ups and Built-up pixels having no UGSs around. AC
Lucknow Central is having 1 °C difference in LST values of such
different Built-ups.